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Learning Path: Python GUI Projects
Rating: 3.2 out of 5(9 ratings)
254 students

Learning Path: Python GUI Projects

Create well-designed, powerful, and scalable applications by harnessing the power of Python.
Last updated 2/2017
English

What you'll learn

  • Create fully functional GUIs written in Python effortlessly
  • Implement several design patterns in Python
  • Create apps that can be scaled in size or complexity without breaking down the core
  • Create apps that leverage resources from the network
  • Understand the basics of 2D and 3D animation in GUI applications
  • Gain hands-on knowledge of the various angles of Python tasks through insightful projects
  • Build production ready projects using Python's eco system.
  • Conceptualize and build state-of-art GUI applications with Tkinter

Course content

2 sections79 lectures7h 2m total length
  • The Course Overview5:29
    This video will give you brief information about the course.
  • Setting Up the Python Development Environment9:31
    In this video we will set up our development environment.
  • Getting Started with Python4:55
    In this video, we will get started writing programs in Python using the Eclipse IDE with the PyDev plugin. This will give us a foundation for all Python projects we are developing in this video series.
  • Setting Breakpoints4:38
    In this video, we will be setting breakpoints in order to step through and debug our code. Setting breakpoints is a great way to understand the flow of our code, especially when using object-oriented programming with Inheritance.
  • Using the Pydev Debugger7:02
    In this video, we will be enhancing our Python debugging skills by setting breakpoints and then using different available debugging tools within Eclipse. We will explore the callstack window; look at the Variables, Breakpoint, and Expression windows; set watches; and use the Outline window as well as bookmarks to navigate the code.
  • Creational Design patterns – The "Maze" Labyrinth Game in Python9:17

    In this video, we will introduce the software classic "Design Patterns". We will then create the Maze labyrinth game from the Design Patterns book in Python using OOP. We will begin by not using any patterns so that we can see and understand the value of using patterns.

  • Creating the Maze in Python Using the Abstract Factory Design Pattern5:47
    In this video, we will create the "Maze" game using the abstract factory design pattern. We will first build a regular Maze and then extend this Maze to an Enchanted Maze, and also to another Maze that can have bombs in it.
  • Creating the Maze in Python Using the Builder Design Pattern8:42
    In this video, we will create the "Maze" game using the Builder Design Pattern. We will explain this pattern by then creating a "Counting Maze".
  • Creating the Maze in Python Using the Factory Prototype Design Pattern12:51
    In this video, we will create the "Maze" game using the Prototype Design Pattern. We will explain this pattern by creating one Maze, saving it, and then cloning it a few times. We'll then modify the clones.
  • Introducing Tkinter5:32
    In this video, we will introduce Python's built-in GUI framework, Tkinter. We will start with the fewest lines of code required to build a working GUI, and then we will change the GUI's default size and also fix its size.
  • Simple_GUI10:22
    In this video, we will enhance the GUI by adding several widgets. We will add a menu, add tabs and populate those tabs with LabelFrames, Labels, Comboboxes, and text entries using the Grid layout manager. We will also add spacing around the widgets to make the GUI look great.
  • NOAA_Weather_Data15:12
    In this video, we will extend our GUI by turning it into a Weather app. We will be using data from NOAA. First we will use previously saved data to populate our GUI, and in the end we will directly retrieve the weather data in real time from the website.
  • OpenWeatherMap15:19
    In this video, we will further enhance our Weather app GUI by using the OpenWeatherMap API. This will allow us to retrieve weather data from cities located all over the world. We will retrieve this data directly from the Web.
  • GettingDataHtml5:30
    In this video, we will reuse some code from the previous section, in which we collected live weather data from the NOAA website. We will then save this data in HTML format.
  • EmailingViaGmail5:40
    In this video, we will use Gmail as our personal e-mailing server. First, we will setup a new Gmail account and configure required settings. Then we will e-mail our HTML weather data report using Gmail.
  • Scheduling the Task3:58

    In this video, we will introduce Python's "schedule" module. We will explore the different scheduling options it provides, and then we will use this module to schedule our data collection, save as HTML, and e-mailing process.

  • TaskSchedulerSvc9:24
    In this video, we will create a Windows Service written in Python. We will see one way to correctly install the required pywin32 module that works for Python 3.5, and how to successfully run the postinstall script. We will then run our scheduled task as a Windows Service.

Requirements

  • The only thing that are required before you begin this Learning Path are is the basic knowledge of Python.

Description

One cannot ignore the benefits of a well-designed architecture and graphical user interface for applications. Let’s see how one of the most powerful language–Python–aids us in creating powerful enterprise-ready applications.

Packt’s Video Learning Paths are an amalgamation of multiple video courses that are logically tied together to provide you with a larger learning curve.

This Learning Path teaches important programming concepts of Python along with giving you the step-by-step approach of creating applications.

In the initial part of the Learning Path we will be focusing on creating applications. The latter part of the Learning Path focuses on a powerful GUI package—Tkinter—that comes with standard Python distributions. It delivers the bigger picture of GUI programming by building real-world, productive, and fun applications, such as a text editor, drum machine, game of chess, media player, drawing application, chat application, screen saver, and port scanner. In every project, you will build on the skills acquired in the previous project and gain more expertise.

After completing this Learning Path, you will have successfully created 14 high-end GUI applications, and will be capable of building many more powerful and scalable applications.

About the authors:

For this Learning Path, we have combined the best works of extremely esteemed authors: Burkhard A. Meier and Bhaskar Chaudhary.

Burkhard has more than 15 years of professional experience working in the software industry as a software tester and developer, specializing in software test automation development, execution, and analysis. He has a very strong background in SQL relational database administration, the development of stored procedures, and debugging code.

Bhaskar is a professional programmer and information architect. He has an experience of almost 9 years in consulting, contracting, and educating in the field of software development. He has worked with a large set of programming languages on various platforms over the years.

Who this course is for:

  • This Learning path is ideal for web developers,statisticians, programmers, data scientists, Python consultants, and anyone who is working on multiple projects in Python.
  • With a project-based approach, the Learning Path focuses on building fun projects from scratch with easy-to-understand explanations and practical applications.